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Integrated Command and Control Centre

  • Context (IE): Earlier this month, the Agriculture Minister opened the Krishi Integrated Command and Control Centre (ICCC) at Krishi Bhavan in New Delhi.
  • It is a big-screen dashboard showcasing all digital innovations in the agricultural sector.

About Integrated Command and Control Centre (ICCC)

  • The ICCC is a technology-driven solution with various IT applications and platforms.
  • The ICCC employs advanced technologies like artificial intelligence, remote sensing, and Geographic Information Systems (GIS).
  • It’s located in the Ministry of Agriculture & Farmers’ Welfare.
  • Various information provided: Crop yields, production, drought situation, cropping patterns (geographic region-wise and year-wise) in map, Key Performance Indicators (KPIs), and receive insights, alerts, and feedback on agriculture schemes, programmes, projects, and initiatives.
  • The ICCC uses platforms, including the Krishi Decision Support System (DSS), to collect micro-level data, process it, and present the macro picture.
  • The ICCC gathers geospatial information from various sources like remote sensing, soil surveys, and weather data from the IMD.
  • It also collects sowing data from the Digital Crop Survey and farmer-related data from Krishi MApper.
  • Additionally, it includes market intelligence from the Unified Portal for Agricultural Statistics (UPAg) and yield estimation data from the General Crop Estimation Survey (GCES).
  • This comprehensive data visualisation allows for quick decision-making.
  • The ICCC ecosystem can potentially integrate with the PM-Kisan chatbot in the future.
  • Krishi MApper is an application for geo-fencing and geo-tagging of land.

Practical Applications

  • Farmer’s advisory: The ICCC provides farmers with personalised advice by combining soil carbon mapping and soil health card data with IMD weather data.
    • Further, ICCC can set up a system to create personalized advisories for individual farmers using apps like Kisan e-mitra.
    • The system, based on AI and machine learning, will identify farmers using their mobile numbers or Aadhaar and match them with their field information from land records & historical crop data.
    • It will then produce customised advisories in the farmer’s local language, facilitated by the Bhashini platform, which supports translation into various Indian languages.
  • Drought management: The ICCC correlates yield changes with weather patterns to help officials understand and address yield fluctuations.
  • Crop diversification: Analyzing crop diversification maps helps identify areas suitable for different crops, aiding in advising farmers accordingly.
  • Farm data repository: The Krishi Decision Support System (K-DSS) acts as an agriculture data repository, using AI and ML models to support evidence-based decision-making and provide customised advice.
  • Validation of yield: Krishi MApper data can be compared with GCES yield data to validate yield information.
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